In modern monitoring systems, it is essential to deploy sensor nodes and deliver related data to the information center. Wireless sensor networks (WSNs) usually work in harsh environments with ...

I set up some other devices too to get comfortable with YAML and ESP32 deployment, and I loved the capabilities it had unlocked for my smart home. In my research, I came across the ESP32 "Cheap Yellow ...

This study presents a machine learning method for monitoring laser temperatures using spectral data, offering a non-invasive ...

A two-wire temperature transmitter using an RTD sensor that can be used in industrial settings to connect to the control room.

In this study, a multilayer composite material, TiO2@Y2Ti2O7@YOF:Yb,Tm (TYY), was designed based on the highly polar O-metal bond for high-sensitivity optical temperature sensing. By introducing ...

This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

By 2030, there will be 500 billion devices with sensors and an Internet connection. The Internet of Things is the name of the network that links these gadgets together for data transport (IoT). In ...

In this work, we prepared a well-aligned palladium oxide nanowire (PdO NW) array using the lithographically patterned Pd nanowire electrodeposition (LPNE) method followed by subsequent calcination at ...

- DGIST research team led by Professor Kyungjoon Park achieves 96% glass wall detection accuracy without using additional sensors, reducing hardware costs by 90% - Smart algorithm negates the need ...

Arduino: The Precise Microcontroller. Arduino, by contrast, is not a full computer but a microcontroller. Devices like the Arduino Uno or Nano excel at reading analog sensors, controlling motors, and ...